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In a year, weather can impose storm damage to a home. From year to year the damage is random. Let Y be the dollar value of damage in a given year. Assume that 95% of the year's Y=$1,000, and 5% of the years, Y=$15,000.
a. Calculate the mean and standard deviation of the damage in any year.
b. Consider an 'insurance pool' of 100 sufficiently dispersed homes, which implies the damage to dissimilar homes can be viewed as separately distributed as random variables. If ? is the average damage to those 100 homes in a year, (i) what is the expected value of the average damage? (ii) What is the probability that ? exceeds $2000?
I could not understand the matrix of technical coefficents
Can you explain the basic introduction of this methodology?
if there is multicollinearity so why we can not estimate the value of parameters?
(a) What is a white noise process? (b) Distinguish between exogenous and endogenous variables, using examples. (c) What do you understand by simultaneity bias and can OLS
cost function; expenditure=B1+B2N+B3N+U EXP=17099+1.60N-1.2Q regration sum of square=8 qutinos 1 explain inter prtation
how do l get a co factor of a matrix
Suppose you have a model of capital investment by a U.S. rm. Imagine that yt, x1t and x2t are annual measures of investment, lagged pro t, and lagged capital stock, all in real do
what is econometrics
Determine the four stationary points of the function Z= 2x 3 +y 3 -18x -12y +50 according to whether they define a maximum, minimum, or saddle point.
Consider an equation to explain salaries of CEOs in terms of annual firm sales, return on equity (ROE, in percent form), and return on the firm's stock (ROS, in percent form): L
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